Home › Companies › Urban SDK › Senior Backend Engineer
Senior Backend Engineer
Urban SDK · Remote (United States), United States · Remote · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Urban SDK |
| Title | Senior Backend Engineer |
| Normalized title | - |
| Department / team | R&D |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-01-07 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Urban SDK. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in R&D. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Urban SDK |
| Source | 9d0c91df-dcef-4128-9f1c-d27d3d306737 |
| ATS provider | Rippling ATS |
Description
company
About Urban SDK
Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence.
Our Commitment to People We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.
role
About the role
We are hiring a Senior Backend Engineer to design and build scalable data-intensive systems using Python and modern big data tooling. You will work on data pipelines, APIs, and backend services that process large datasets using dataframes, Parquet, and Databricks, enabling analytics and visualization products at scale. This role is ideal for someone who enjoys working close to data, cares deeply about performance and reliability, and can own backend systems end-to-end.
Responsibilities Design, implement, and maintain backend services and data pipelines using Python Work extensively with dataframes (Pandas, PySpark, or similar) to process large datasets Build and optimize data pipelines using Parquet and columnar storage formats Develop and maintain workflows on Databricks Optimize performance for large-scale, distributed data processing Design and maintain APIs that support data-heavy applications Collaborate closely with front-end, data, and product teams Ensure data quality, reliability, and observability Participate in architectural decisions and technical planning Mentor other engineers and lead code reviews
Required Qualifications 5+ years of backend or data engineering experience Strong proficiency in Python Deep experience with dataframes (Pandas, PySpark, Dask, or similar) Hands-on experience with big data processing and distributed systems Strong experience working with Parquet and columnar data formats Experience using Databricks in production environments Solid understanding of data modeling, performance tuning, and memory optimization Experience building and maintaining APIs (REST and/or gRPC) Strong debugging, testing, and problem-solving skills
Nice to Have Experience deploying and operating systems on AWS S3, EC2, EKS, Lambda, IAM, etc. Experience with infrastructure-as-code (Terraform, CloudFormation) Experience with containerization and deployment (Docker, Kubernetes) Familiarity with CI/CD pipelines and automated deployments Experience with streaming systems (Kafka, Kinesis) Background in analytics, geospatial data, or data platforms
Compensation
Location: Jacksonville, FL (Town Center Area) or Remote Type: Full-time Reports to: Director of Engineering Salary Based on Experience Annual Bonus Medical, Vision, Dental, 401(k) 21 Days Vacation Office Lunch provided Daily
Full job record
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| Org ID | 1bfb703a-200d-45ae-93d3-7cb0d1da3051 |
| Source ID | 9d0c91df-dcef-4128-9f1c-d27d3d306737 |
| Board ID | 9d0c91df-dcef-4128-9f1c-d27d3d306737 |
| Provider | rippling |
| Provider Job Key | eb33b573-9168-4950-88fd-684af32393ea |
| Title | Senior Backend Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (United States), United States |
| Department | R&D |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/urban-sdk/jobs/eb33b573-9168-4950-88fd-684af32393ea |
| Apply URL | https://ats.rippling.com/urban-sdk/jobs/eb33b573-9168-4950-88fd-684af32393ea |
| First Seen At | 2026-05-29 07:17:11Z |
| Last Seen At | 2026-06-06 08:44:56Z |
| Last Checked At | 2026-06-06 08:44:56Z |
| Last Changed At | 2026-06-06 08:44:56Z |
| Inactive At | — |
| Source Posted At | 2026-01-07 20:48:41Z |
| Source Updated At | — |
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"role": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the role</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">We are hiring a Senior Backend Engineer to design and build scalable data-intensive systems using Python and modern big data tooling. You will work on data pipelines, APIs, and backend services that process large datasets using dataframes, Parquet, and Databricks, enabling analytics and visualization products at scale. This role is ideal for someone who enjoys working close to data, cares deeply about performance and reliability, and can own backend systems end-to-end.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Responsibilities</span></h4><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Design, implement, and maintain backend services and data pipelines using Python</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Work extensively with dataframes (Pandas, PySpark, or similar) to process large datasets</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Build and optimize data pipelines using Parquet and columnar storage formats</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Develop and maintain workflows on Databricks</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Optimize performance for large-scale, distributed data processing</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Design and maintain APIs that support data-heavy applications</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Collaborate closely with front-end, data, and product teams</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Ensure data quality, reliability, and observability</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Participate in architectural decisions and technical planning</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Mentor other engineers and lead code reviews</span><br><br></li></ul><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Required Qualifications</span></h4><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">5+ years of backend or data engineering experience</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Strong proficiency in Python</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Deep experience with dataframes (Pandas, PySpark, Dask, or similar)</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Hands-on experience with big data processing and distributed systems</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Strong experience working with Parquet and columnar data formats</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Experience using Databricks in production environments</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Solid understanding of data modeling, performance tuning, and memory optimization</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span 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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Familiarity with CI/CD pipelines and automated deployments</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Experience with streaming systems (Kafka, Kinesis)</span></li><li style=\"color:rgb(0,0,0);--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Background in analytics, geospatial data, or data platforms</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Compensation</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Location: Jacksonville, FL (Town Center Area) or Remote</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Type: Full-time</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Reports to: Director of Engineering</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Salary Based on Experience </span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Annual Bonus</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Medical, Vision, Dental, 401(k) </span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">21 Days Vacation</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Office Lunch provided Daily</span></li></ul>",
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"fieldType": "SHORT_ANSWER"
},
{
"oid": "linkedin_link",
"title": "LinkedIn link",
"required": false,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "website_link",
"title": "Website link",
"required": false,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "resume",
"title": "Resume",
"required": true,
"fieldType": "FILE"
},
{
"oid": "cover_letter",
"title": "Cover letter",
"required": true,
"fieldType": "FILE"
}
],
"customQuestions": {
"fields": [
{
"oid": "first_name",
"title": "First name",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "last_name",
"title": "Last name",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "email",
"title": "Email",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "current_company",
"title": "Current company",
"required": false,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "phone_number",
"title": "Phone number",
"required": true,
"fieldData": {},
"fieldType": "PHONE_NUMBER"
},
{
"oid": "location",
"title": "Location (city only)",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "linkedin_link",
"title": "LinkedIn link",
"required": false,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "website_link",
"title": "Website link",
"required": false,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "resume",
"title": "Resume",
"required": true,
"fieldData": {},
"fieldType": "FILE"
},
{
"oid": "cover_letter",
"title": "Cover letter",
"required": true,
"fieldData": {},
"fieldType": "FILE"
}
]
},
"additionalQuestions": null
},
"hasAIEvaluationsEnabled": false,
"eeocQuestionnaireEnabled": true,
"applicationConfirmationTemplate": "6952c77b3928888a5b958dc1",
"eeocQuestionnaireEnabledForJobPost": true
},
"detail_meta": {
"url": "https://ats.rippling.com/api/v2/board/urban-sdk/jobs/eb33b573-9168-4950-88fd-684af32393ea",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 16913
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/6d194bbf05d4830980770bf1d14507b09d98410f?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/1bfb703a-200d-45ae-93d3-7cb0d1da3051JSONGET https://api.bluedoor.sh/job-postings/v1/sources/9d0c91df-dcef-4128-9f1c-d27d3d306737JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/6d194bbf05d4830980770bf1d14507b09d98410f/eventsJSON